The Problem We're Solving
Data inconsistency is costing companies millions in wasted time, missed opportunities, and poor decisions.
Data Silos
Teams work with different data sources, leading to inconsistent metrics and definitions.
Metric Confusion
Different departments define and calculate key metrics in different ways.
Communication Gaps
Technical and non-technical teams struggle to communicate about data needs.
Validation Overhead
Teams spend excessive time validating data rather than deriving insights.
Our Solution
Treeo creates a unified metrics dictionary and natural language interface that allows everyone in your organization to access consistent, reliable data without technical knowledge.
Metrics Dictionary
Define metrics once, use them everywhere. Ensure everyone in your organization is working with the same definitions.
What was our #monthly_active_users for Q1 compared to Q4 last year?Natural Language Interface
Ask questions in plain English and get immediate answers, visualizations, and insights.
Show me the correlation between customer support tickets and churn rate by plan typeHow Treeo Works
Our platform simplifies data access while ensuring consistency across your organization.
Connect Your Data
Connect Your Data
Integrate with your existing databases, data warehouses, and analytics tools.
Illustration for Connect Your Data
Define Your Metrics
Define Your Metrics
Create a unified metrics dictionary that ensures consistency across your organization.
Illustration for Define Your Metrics
Ask Questions
Ask Questions
Use natural language to query your data, create visualizations, and build dashboards.
Illustration for Ask Questions
Share Insights
Share Insights
Collaborate with your team using shared dashboards and reports.
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Use Cases
Treeo adapts to different roles and needs across your organization.
Chat Mode
Product Manager
Chats for funnel data, adds charts to shared dashboards.
Operations Lead
Creates dashboards, filters data, shares with team.
Sales Manager
Queries churn by tier, compares quarters, updates dashboards.
Executive
Reviews insights via dashboards and sets strategic direction.
Scientist Mode
Data Engineer
Uses Data Profiler to improve data schema.
Data Analyst
Explores data, builds metrics, and creates reports.
Developer
Integrates analytics into applications and automations.
How Different Teams Benefit
Business Teams
- • Access data without SQL knowledge
- • Create visualizations with simple commands
- • Share insights across departments
- • Make data-driven decisions faster
Data Teams
- • Establish consistent metric definitions
- • Reduce time spent on ad-hoc requests
- • Improve data quality and governance
- • Focus on high-value analysis
Leadership
- • Get consistent reporting across teams
- • Reduce decision-making bottlenecks
- • Improve data literacy organization-wide
- • Accelerate strategic initiatives
Our Team
We're a team of data scientists, engineers, and product designers passionate about making data accessible to everyone.
Taymour Elkady
Founder & CEO
Startup veteran with expertise in marketplaces, Operations, Product, and Data Analytics.
Ahmed Abdelmaksoud
Founder & CDO
Machine learning expert specializing in natural language processing and data visualization.
John Doe
Founder & CTO
Second time founder, technical expert specializing in SaaS.